北京生物医学工程2025，Vol.44Issue(5)：496-502,7.DOI:10.3969/j.issn.1002-3208.2025.05.008
AI辅助压缩感知在颅内血管壁3D T1WI成像中的应用
Application of artificial intelligence-assisted compressed sensing technique on 3D T1-weighted imaging of intracranial vessel walls
摘要
Abstract
Objective To explore the feasibility of artificial intelligent-assisted compressed sensing(ACS)technology in accelerating high-resolution three-dimensional T1-weighted black blood imaging(3D T1_HRVWI)of intracranial blood vessel walls,in comparison with the parallel imaging(PI)technique.Methods 47 patients with cerebrovascular diseases were prospectively enrolled in this study.ACS accelerated and PI accelerated 3D T1_HRVWI scanning were both performed.The scanning duration,signal-to-noise ratio(SNR)of vessel walls in 3D T1_HRVWI images and the contrast noise ratio(CNR)of vessel walls relative to vascular lumens were objectively compared between the ACS group and the PI group.Also,the overall quality of 3D T1_HRVWI images,intracranial artery visualization and diagnostic value of lesions were subjectively evaluated.Statistical analysis was performed.Results Compared with PI 3D T1_HRVWI,the scanning time of ACS 3D T1_HRVWI was shortened by 43%.In ACS 3D T1_HRVWI images,the SNR of internal carotid artery,basilar artery,vertebral artery,anterior cerebral artery,middle cerebral artery and posterior cerebral artery were significantly higher(P＜0.001).There were no significant differences on scores for overall quality and intracranial artery visualization betweenthe two groups(P＞0.05).The diagnostic value of the two sequences was equal(P＞0.05).Conclusions Compared with PI,ACS can shorten the acquisition time of 3D T1_HRVWI while ensuring the image quality,which provides an evidence-based basis for developing neurovascular imaging scanning protocols and shows important value in the accurate diagnosis of neurovascular diseases.关键词
颅内血管壁成像/高分辨率3D T1加权黑血成像/脑血管疾病/人工智能辅助压缩感知技术/磁共振成像Key words
intracranial vascular wall imaging/high resolution 3D T1-weighted black blood imaging/artificial intelligence-assisted compressed sensing/cerebrovascular diseases/magnetic resonance imaging分类
医药卫生引用本文复制引用
张月青,柴丽,丁金立,赵元宾,张瑞,周鑫,苗成鹏,谭桂蓉,段云云,隋滨滨,董健..AI辅助压缩感知在颅内血管壁3D T1WI成像中的应用[J].北京生物医学工程,2025,44(5):496-502,7.基金项目
国家自然科学基金(62271061)、北京市自然科学基金-海淀原始创新联合基金(L232130)资助 （62271061）
